Welcome back!!!
There are a few chapters,
For part 2, this might be a long take, but it will be fun!!
So let’s open R-studio as of screenshot, and run all lines start with “library()”
library() to start the game!# Load the tidyverse package (game)
library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.4 ✔ readr 2.1.5
## ✔ forcats 1.0.0 ✔ stringr 1.5.1
## ✔ ggplot2 3.5.1 ✔ tibble 3.2.1
## ✔ lubridate 1.9.3 ✔ tidyr 1.3.1
## ✔ purrr 1.0.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
# Load the ggplot2 package (game)
library(ggplot2)
# Load the ggpmisc package (game)
library(ggpmisc)
## Warning: package 'ggpmisc' was built under R version 4.3.3
## Loading required package: ggpp
## Registered S3 methods overwritten by 'ggpp':
## method from
## heightDetails.titleGrob ggplot2
## widthDetails.titleGrob ggplot2
##
## Attaching package: 'ggpp'
##
## The following object is masked from 'package:ggplot2':
##
## annotate
##
## Registered S3 method overwritten by 'ggpmisc':
## method from
## as.character.polynomial polynom
# Load the gganimate package (game)
library(gganimate)
# Load the animation package (game)
library(animation)
# Load the animation package (game)
library(kableExtra)
##
## Attaching package: 'kableExtra'
##
## The following object is masked from 'package:dplyr':
##
## group_rows
Let me remind you about the goal of our MLRS 101
GOAL: learn how to make some results (plots / stats) with R-studio to answer "Any updates?"
Soooooo, before we jump to real genomics data, let’s start with some familiar data to make some figure and numbers.
Before we jump into any kinds of data, do you know who is this?